Data Engineer

This is a Full Time Job

The Tampa Bay Rays are seeking a Data Engineer to join our Baseball Systems department to help ensure data integrity and that users have acceptable performance when accessing the database. This role is responsible for importing data from external providers, integrating data from different sources, and working with members of the R&D department to operationalize analytical products. This person will interact with multiple departments and staff members, sometimes all at once, to take feedback as well as to make recommendations for improvements. The sole focus of this role is the performance of the database - a critical aspect of the success of the Rays Baseball Operations department - and the necessary interaction with the Research and Development and Baseball Systems groups to achieve that goal. Problem-solving skills and being an excellent teammate are a must in this role.

Duties & Responsibilities:
• Responsible for development and support of integrations with external data providers
• Address data quality issues and implement procedures for error checking and monitoring
• Ensure the database performs up to an acceptable level
• Coordinate R&D models with the daily flow of data to ensure that they are synchronized
• Explore emerging technologies and determine their fit with our current platform

Skills:

• Advanced understanding of SQL
• Experience with R, Python, or other scripting language
• Proficiency with evaluating and improving the performance of SQL queries
• Ability to assist in the development of data models optimized for business intelligence and/or analytic workloads
• Knowledge or experience with semi-structured or unstructured data stores
• Comfort with exploring and evaluating new technologies
• Ability to manage multiple tasks and priority levels at once

Technologies
• RDBMS (SQL Server, MySQL)
• SQL Server Integration Services
• Cloud Technologies (Azure, AWS)
• Apache Project (Hive, Spark, Kafka, NiFi)

Education
/Experience
• Bachelor's Degree in Computer Science, Engineering Degree or commensurate experience
• Demonstrated success with:
• Data Ingestion
• Data Processing (Cleaning, Transformation, Integration, etc.)
• Data Warehousing